Mckinsey Consulting - JD - Interview data / AMA
Posted: Wed Jun 12, 2019 6:47 pm
A few years ago when I was still in law school I interviewed with Mckinsey over the Summer for a full-time role. Whatever associate it was that sent out the interview invite case consulting introduction sent a mass-email out to all the candidates who were also interviewing with Mckinsey that year for both summer associate gigs and fulltime gigs.
I benefited alot from TLS over the years so this is a part of my knowledge sharing back.
I figured it would be good to share the data/the numbers for a few reasons:
1. Reference to dissuade people who went to law school solely to work in a non-legal business function.
2. Data on people who had at least some interest in going into non-legal.
3. Data for people who want to go to consulting.
4. Probably one of the only examples of general data on people who had a semi-strong interest going into non legal functions after law school.
A few notes about this sample:
1. This could only be for one assigned set of interviewees, perhaps there were three more emails like this sent. That being said, the numbers add up for Harvard/Stanford for OCI slots so I think this may be decently comprehensive.
2. Please note that this data is for people who went only to law school. JD/MBA's were not recruited through this channel. I would assume a Kellogg or Ross JD/MBA went through B-school recruiting (and of the linkedin's I looked at none had MBAs)
3. Sample was for 2017/2018 grads
4. This does not include people who summered and received offers with Mckinsey in my year. I also believe that there was a second wave of recruitment after I was rejected at least for PHD candidates.
5. This step in the process was after a cognitive test sent by Mckinsey, there would have been a final round after this. Mckinsey flew people out for this round.
There were a total of 43 people on the email.
Schools that the interviewees came from (note one person I could not find):
HYS - 28 (67%)
Yale: 3
Stanford: 7
Harvard: 18
T6 36 (86%)
Chicago 4
Columbia 1
NYU 3
T14 41 (98%)
Berkeley 1
UPenn 1
Michigan 1
UVA 1
Georgetown 1
T20 42 (100%)
WUSTL 1
Careers/outcomes that these ended up in. Please note that for NYU, some Harvard, Yale, Chicago, and Stanford, the naming conventions were weird so it is unclear of the names of the persons. There were 15 of these people I couldn't find.
Current career:
Biglaw - 18
Biglaw -> Professor - 1
Banking Analyst -> Startup M&A - 1
Clerk 1
Consulting - 3 (all Mckinsey and all HLS)
Private Equity - 2 (Note one had prior PE experience)
Successful startup Founder - 1
High level comments:
1. It is important to go to a top school to even interview with Mckinsey, 86% of the people came from T6 or better
2. Don't go to law school solely to work in business. There are unicorn business outcomes out there but they are very difficult to get and even the "best and brightest" often end up still in biglaw.
3. Occasionally a "scrappy" candidate can make it to the inteview process evidenced by the 6 non HYS students
4. Only one person ended up in investment banking and they went at an analyst role - business roles often don't know what to do with JDs which is generally not a good thing.
I am happy to take questions on the dataset for the next week or so. Please note I won't share any information that will out any of the other people on this list (or myself).
I benefited alot from TLS over the years so this is a part of my knowledge sharing back.
I figured it would be good to share the data/the numbers for a few reasons:
1. Reference to dissuade people who went to law school solely to work in a non-legal business function.
2. Data on people who had at least some interest in going into non-legal.
3. Data for people who want to go to consulting.
4. Probably one of the only examples of general data on people who had a semi-strong interest going into non legal functions after law school.
A few notes about this sample:
1. This could only be for one assigned set of interviewees, perhaps there were three more emails like this sent. That being said, the numbers add up for Harvard/Stanford for OCI slots so I think this may be decently comprehensive.
2. Please note that this data is for people who went only to law school. JD/MBA's were not recruited through this channel. I would assume a Kellogg or Ross JD/MBA went through B-school recruiting (and of the linkedin's I looked at none had MBAs)
3. Sample was for 2017/2018 grads
4. This does not include people who summered and received offers with Mckinsey in my year. I also believe that there was a second wave of recruitment after I was rejected at least for PHD candidates.
5. This step in the process was after a cognitive test sent by Mckinsey, there would have been a final round after this. Mckinsey flew people out for this round.
There were a total of 43 people on the email.
Schools that the interviewees came from (note one person I could not find):
HYS - 28 (67%)
Yale: 3
Stanford: 7
Harvard: 18
T6 36 (86%)
Chicago 4
Columbia 1
NYU 3
T14 41 (98%)
Berkeley 1
UPenn 1
Michigan 1
UVA 1
Georgetown 1
T20 42 (100%)
WUSTL 1
Careers/outcomes that these ended up in. Please note that for NYU, some Harvard, Yale, Chicago, and Stanford, the naming conventions were weird so it is unclear of the names of the persons. There were 15 of these people I couldn't find.
Current career:
Biglaw - 18
Biglaw -> Professor - 1
Banking Analyst -> Startup M&A - 1
Clerk 1
Consulting - 3 (all Mckinsey and all HLS)
Private Equity - 2 (Note one had prior PE experience)
Successful startup Founder - 1
High level comments:
1. It is important to go to a top school to even interview with Mckinsey, 86% of the people came from T6 or better
2. Don't go to law school solely to work in business. There are unicorn business outcomes out there but they are very difficult to get and even the "best and brightest" often end up still in biglaw.
3. Occasionally a "scrappy" candidate can make it to the inteview process evidenced by the 6 non HYS students
4. Only one person ended up in investment banking and they went at an analyst role - business roles often don't know what to do with JDs which is generally not a good thing.
I am happy to take questions on the dataset for the next week or so. Please note I won't share any information that will out any of the other people on this list (or myself).